dirty-validators 0.5.1

Validate library for python 3

dirty-validators

Agnostic validators for python 3

Freely based on [WTF-Forms](https://github.com/wtforms/wtforms) validators.

Features

• Python 3 package.

• Easy to create a validator.

• Chained validations.

• Conditional validations.

• Specific error control messages.

• Dirty model integration (https://github.com/alfred82santa/dirty-models)

• No database dependent.

• Asynchronous validators.

Changelog

Version 0.5.1

• Added value validators for mappings.

Version 0.5.0

• Added asynchronous validators.

Version 0.4.0

• Added <root> keyword in order to look up a field from root model of context.

• Added key_validator argument for spec validators in order to validate keys on hashmaps.

Installation

$ pip install dirty-validators

Basic usage

from dirty_validators.basic import EqualTo, Length, Regexp, Email
from dirty_validators.complex import Optional, ModelValidate

validator = Optional(validators=[EqualTo(comp_value="test")])

assert validator.is_valid("test") is True

# Chained validation
validator_chain = Chain(validators=[Length(min=14, max=16), Regexp(regex='^abc'), Email()])

assert validator_chain.is_valid('[e-mail]')

# Model validation

class MyModelValidator(ModelValidate):
    fieldName1 = Optional(validators=[Length(min=4, max=6)])
    fieldName2 = Optional(validators=[Length(min=1, max=2)])
    fieldName3 = Required(validators=[Length(min=7, max=8)])

validator_model = MyModelValidator()

data = {
    "fieldName1": "1234",
    "fieldName1": "12",
    "fieldName3": "123456qw"
 }

assert validator_model.is_valid(FakeModel(data)) is True

Note

Look at tests for more examples